Literature DB >> 34851478

Transcriptomic and histological analysis of exposed facial skin areas wrinkled or not and unexposed skin.

Renan Paulo Martin1, Patricia Varela2, Caio Peres Gomes2, Maryana Mara Marins2, Rafael Filippelli-Silva2, Samira Yarak3, Juliana L M Soares3, Adriana Sanudo4, Jolanta Idkowiak-Baldys5, Siming Chen5, Cheng Hwang5, Yong Zhuang5, John Lyga5, João Bosco Pesquero6, Edileia Bagatin7.   

Abstract

BACKGROUND: Skin aging involves genetic, environmental and hormonal factors. Facial wrinkles also depend on muscular activity. Gene expression investigation may be useful for new anti-aging products. METHODS AND
RESULTS: To evaluate structure and gene expression differences among exposed and unexposed skin in menopausal women. Cross-sectional study, including 15 menopausal women, 55-65 years, phototype III; photo-exposed, periorbital wrinkles (A1), preauricular, not wrinkled (A2), and unexposed gluteal (A3) areas were described and compared by non-invasive measures, histology, immunohistochemistry and gene expression (RNASeq); participants mean age was 61yo, presenting moderate periorbital wrinkles and light facial photodamage. Higher roughness, wrinkles number and echogenicity were observed in A1 and A2 versus A3. Decreased epidermal thickness and dermal collagen IV were demonstrated in A1 versus A2 and A3. Exposed areas impacted different pathways compared to unexposed. Exposed wrinkled skin (A1) showed impact on cell movement with decreased inflammatory activation state. Pathways related to lipid and aminoacids metabolism were modulated in non-wrinkled exposed (A2) compared to unexposed (A3) skin.
CONCLUSIONS: Expected histological findings and gene expression differences among areas were observed. Photoaging in menopausal women may modulate lipid and aminoacids metabolism and decrease inflammatory and keratinization pathways, cellular homeostasis, immune response, fibrogenesis and filament formation. These findings may help development of new therapies for skin health and aging control.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Gene expression profile; Photoaging of skin; Skin aging; Transcriptome

Mesh:

Year:  2021        PMID: 34851478     DOI: 10.1007/s11033-021-06973-y

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  41 in total

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10.  Signatures of photo-aging and intrinsic aging in skin were revealed by transcriptome network analysis.

Authors:  Byuri Angela Cho; Seong-Keun Yoo; Jeong-Sun Seo
Journal:  Aging (Albany NY)       Date:  2018-07-18       Impact factor: 5.682

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